PS.SPID.7

Find linear models using median fit and regression methods to make predictions. Interpret the slope and intercept of a linear model in the context of the data.

Example Problems
Isabella is studying the relationship between daily study hours and exam score. She records data for a random sample of 22 students. Here is computer output from a least-squares regression analysis on her sample:

PredictorCoefSE CoefTP
Constant52.305.0510.360.00
Study hours4.521.054.300.00




Assume that all conditions for inference have been met.

Write the expression for a
99% confidence interval for the slope of the least squares regression line.
Jamal collected data on vehicle engine displacement (in liters) and CO2 emissions (in grams per kilometer) for a random sample of 41 car models. Here is computer output from a least-squares regression analysis on his sample:

PredictorCoefSE CoefTP
Constant74.2022.803.260.00
Displacement68.3011.905.740.00


S = 48.60 R-sq = 69.5%

Assume that all conditions for inference have been met.

Write the expression for a
95% confidence interval for the slope of the least squares regression line.
Aisha is studying the relationship between altitude (in meters) and the boiling point of water (in °C) across 35 towns. Here is computer output from a least-squares regression analysis on her sample:

PredictorCoefSE CoefTP
Constant100.300.60167.170.00
Altitude-0.0180.005-3.600.00




Assume that all conditions for inference have been met.

Write the expression for a
99% confidence interval for the slope of the least squares regression line.
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